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Part of the book series: Studies in Computational Intelligence ((SCI,volume 350))

Abstract

When applying a Collaborative Learning Flow Pattern (CLFP) to structure sequences of activities in real contexts, one of the tasks is to organize groups of students according to the constraints imposed by the pattern. Sometimes, unexpected events occurring at runtime force this pre-defined distribution to be changed. In such situations, an adjustment of the group structures to be adapted to the new context is needed. If the collaborative pattern is complex, this group re-definition might be difficult and time consuming to be carried out in real time. In this context, technology can help on notifying the teacher which incompatibilities between the actual context and the constraints imposed by the pattern. This chapter presents a flexible solution for supporting teachers in the group organization profiting from the intrinsic constraints defined by a CLFPs codified in IMS Learning Design. A prototype of a web-based tool for the TAPPS and Jigsaw CLFPs and the preliminary results of a controlled user study are also presented as a first step towards flexible technological systems to support grouping tasks in this context.

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Pérez-Sanagustín, M., Burgos, J., Hernández-Leo, D., Blat, J. (2011). CLFP Intrinsic Constraints-Based Group Management of Blended Learning Situations. In: Daradoumis, T., Caballé, S., Juan, A.A., Xhafa, F. (eds) Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding. Studies in Computational Intelligence, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19814-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-19814-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19813-7

  • Online ISBN: 978-3-642-19814-4

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